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CodeLlama-7B-Instruct-AWQ-FaVe-rank32-5epochs
Ferdi/CodeLlama-7B-Instruct-AWQ-FaVe-rank32-5epochs
CodeLlama-7B-Instruct-AWQ-FaVe-rank32-5epochs is a machine learning model from Ferdi. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as llama2.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- llama2
- Access
- Public
- Created
- Jun 21, 2024
- Updated
- Jun 21, 2024
- SHA
- 359d5620
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
CodeLlama-7B-Instruct-AWQ-FaVe-rank32-5epochs
This model is a fine-tuned version of TheBloke/CodeLlama-7B-Instruct-AWQ on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3756
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0002
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.2685 | 10 | 1.9580 |
| 2.0282 | 0.5369 | 20 | 0.9828 |
| 2.0282 | 0.8054 | 30 | 0.7167 |
| 0.7754 | 1.0738 | 40 | 0.6278 |
| 0.7754 | 1.3423 | 50 | 0.5769 |
| 0.5434 | 1.6107 | 60 | 0.5349 |
| 0.5434 | 1.8792 | 70 | 0.4895 |
| 0.4946 | 2.1477 | 80 | 0.4610 |
| 0.4946 | 2.4161 | 90 | 0.4412 |
| 0.3464 | 2.6846 | 100 | 0.4297 |
| 0.3464 | 2.9530 | 110 | 0.3981 |
| 0.2976 | 3.2215 | 120 | 0.4062 |
| 0.2976 | 3.4899 | 130 | 0.3909 |
| 0.261 | 3.7584 | 140 | 0.3712 |
| 0.261 | 4.0268 | 150 | 0.3683 |
| 0.2174 | 4.2953 | 160 | 0.3861 |
| 0.2174 | 4.5638 | 170 | 0.3837 |
| 0.2125 | 4.8322 | 180 | 0.3756 |
Framework versions
- PEFT 0.10.0
- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
- Library
- peft
- License
- llama2
- Created
- Jun 21, 2024
- Updated
- Jun 21, 2024